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1. |
Record Nr. |
UNINA9910563076003321 |
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Autore |
Marnewick Carl |
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Titolo |
Information technology project managers' competencies : an analysis of performance and personal competencies / / Carl Marnewick, Wikus Erasmus, Nazeer Joseph |
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Pubbl/distr/stampa |
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Durbanville, : AOSIS, 2016 |
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Cape Town, South Africa : , : AOSIS, , 2016 |
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ISBN |
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9781928396062 |
9781928396055 |
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Descrizione fisica |
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1 online resource (xxv, 241 pages) : illustrations; digital, PDF file(s) |
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Disciplina |
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Soggetti |
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Project management - South Africa |
Industrial management - South Africa |
Information technology - South Africa |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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List of abbreviations appearing in the Text and Notes --List of tables --List of figures --Notes on contributors --chapter 1. Introduction to project management competencies --chapter 2. Industry overview of project manager competencies --chapter 3. Project management certification's influence on project success --chapter 4. Information technology project managers’performance competencies --chapter 5. Information technology project managers’personal competence --chapter 6. Factors and models for competence units --chapter 7. Managerial implications and suggestions --References --Index. |
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Sommario/riassunto |
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The purpose of this book is to shed light on the performance and personal competencies of information technology (IT) project managers in South Africa. Predictive models are built to determine what project managers consider the crucial competencies they should possess to deliver an IT project successfully. This investigation takes place in the context of poor IT project success rates globally and, in particular, in South Africa. This novel research seeks to extend the debate on project success beyond what merely constitutes success or failure, but seeks to find clarity in what IT project managers believe are the essential |
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competencies in practice. This quantitative research gathered data by way of an online survey based on literature regarding the Project Management Competency Development Framework (PMCDF). The population consisted of IT project managers in South Africa. Four hundred and two respondents chose to share their insights. Through the use of descriptive and multivariate statistics, major competency factors were identified. These factors were used in structural equation modelling to build various validated predictive models. This book contributes to the current body of knowledge by uncovering the competencies that IT project managers consider themselves competent in. The structural equation models indicated predictors of perceived competence by IT project managers and where these perceived competencies differ from literature. Twelve managerial implications are highlighted in the final chapter that seek to draw the myriad of threads together into a coherent summary. It is apparent that IT project managers do not consider the PMCDF important in its entirety, but instead choose to focus on certain competencies. This book is intended for reading by fellow researchers as well as project and IT practitioners. These may include IT managers, IT executives, project managers, project team members, the project management office (PMO), general managers and executives that initiate and conduct project-related work. This body of work is original and has not been plagiarised, although certain concepts have been tested in peer reviewed academic work by way of conference proceedings. Instances of this have been referenced and cited. This book is in its first edition and has not been based on thesis work published previously. |
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2. |
Record Nr. |
UNINA9910437861503321 |
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Autore |
Lafaye de Micheaux Pierre |
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Titolo |
The R Software : Fundamentals of Programming and Statistical Analysis / / by Pierre Lafaye de Micheaux, Rémy Drouilhet, Benoit Liquet |
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Pubbl/distr/stampa |
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New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (XXXVII, 628 p. 50 illus., 41 illus. in color.) |
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Collana |
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Statistics and Computing, , 1431-8784 ; ; 40 |
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Disciplina |
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Soggetti |
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Statistics |
Programming languages (Electronic computers) |
R (Computer program language) |
Statistics and Computing/Statistics Programs |
Programming Languages, Compilers, Interpreters |
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and indexes. |
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Nota di contenuto |
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Foreword -- Basic Concepts and Data Organisation -- Importing, Exporting and Producing Data -- Data Manipulation, Functions -- R and its Documentation -- Drawing Curves and Plots -- Programming in R -- Managing Sessions -- Basic Mathematics -- Descriptive Statistics -- A Better Understanding of Random Variables -- Confidence Intervals and Hypothesis Testing -- Simple and Multiple Linear Regression -- Elementary Analysis of Variance -- Installing R and R Packages -- References -- Indices -- Solutions. |
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Sommario/riassunto |
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The contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a self-learning text, this book can support lectures on R at any level from beginner to advanced. This book can serve as a textbook on R for beginners as well as more advanced users, working on Windows, MacOs or Linux OSes. The first part of the book deals with the heart of the R language and its fundamental concepts, including data organization, import and export, various manipulations, documentation, plots, programming and maintenance. The last chapter in this part deals with |
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oriented object programming as well as interfacing R with C/C++ or Fortran, and contains a section on debugging techniques. This is followed by the second part of the book, which provides detailed explanations on how to perform many standard statistical analyses, mainly in the Biostatistics field. Topics from mathematical and statistical settings that are included are matrix operations, integration, optimization, descriptive statistics, simulations, confidence intervals and hypothesis testing, simple and multiple linear regression, and analysis of variance. Each statistical chapter in the second part relies on one or more real biomedical data sets, kindly made available by the Bordeaux School of Public Health (Institut de Santé Publique, d'Épidémiologie et de Développement - ISPED) and described at the beginning of the book. Each chapter ends with an assessment section: memorandum of most important terms, followed by a section of theoretical exercises (to be done on paper), which can be used as questions for a test. Moreover, worksheets enable the reader to check his new abilities in R. Solutions to all exercises and worksheets are included in this book. |
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